PT Unknown
AU Wildenhues, S
TI Optimal Allocation and Sizing of STATCOM for Power System Dynamic Performance Enhancement
PD 09
PY 2013
LA en
DE Dynamic VAr Planning; STATCOM; FACTS Location; FACTS Size; Dynamic Security; Heuristic Optimization
AB Deregulation and liberalization of the electricity markets, fundamentally changing patterns in production, as well as an ever-increasing power demand and pronounced environmental awareness lead to significant challenges for today’s utilities. Studies of recent blackouts revealed an intricate relationship existing between insufficient reactive power support and unreliable system operation. Besides, the disappearance of large central generating units in some countries introduces a strong demand for strategic implementation of devices providing enhanced control actions concerning the dynamic security and performance of power systems during emergencies. The question, however, is not only to determine, if a compliant system state can be reached in such frameworks, but rather to find out, how this can be achieved in a cost-optimal fashion. This study is therefore devoted to the problem of joint optimal determination of location and size of multiple dynamic VAr sources.
It develops an integrated multi-contingency approach using STATCOM that rigorously exploits technical requirements while ensuring optimality of investments. First, a set of credible disturbances is filtered out through an alternative formulation of contingency severity index (CSI). Recent heuristic Mean-Variance Mapping optimization (MVMO) algorithm is then applied in combination with an intervention scheme ensuring efficient utilization of computational resources, which is essential due to consideration of the full dynamic system model. A so called Trajectory Violation Integral (TVI) is introduced to determine solution’s feasibility and continuously control the evolutionary search process. The methodology is applied to the IEEE New England 39-Bus test system while PowerFactory and Matlab software packages are used. Fast and robust communication is realized by an user-written C++-interface. The results show sensitivities of STATCOM allocation with respect to three major factors, including: fault clearing time, transient voltage requirements and dynamic load portion. Finally, cost versus dynamic performance benefit is further improved by introducing a method that explicitly makes use of economies of scale: large devices are preferred over smaller ones attained from the optimization by proper adjustment of voltage control droop characteristics. An adaptive search space modification ensures that the iterative concentration proceeds in a controlled and reasonable way.
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